AIcrowd / flatland-challenge-starter-kit
⚠️ NOTICE: This starter kit was used for 2019 challenge and has been deprecated in favour of 2020 Flatland challenge's starter kit present here
☆19Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for flatland-challenge-starter-kit
- PyTorch implementation of Proximal Policy Optimization☆50Updated 6 years ago
- ☆72Updated last year
- Upside-Down Reinforcement Learning (⅂ꓤ) implementation in PyTorch. Based on the paper published by Jürgen Schmidhuber.☆76Updated 4 years ago
- Starter Kit for NeurIPS 2020 - Procgen Competition on AIcrowd☆90Updated last year
- Reinforcement learning algorithms in RLlib☆56Updated 6 months ago
- A framework for easy prototyping of distributed reinforcement learning algorithms☆95Updated 3 years ago
- Automatic Data-Regularized Actor-Critic (Auto-DrAC)☆101Updated last year
- This is a pip package implementing Reinforcement Learning algorithms in non-stationary environments supported by the OpenAI Gym toolkit.☆32Updated 5 years ago
- MultiTask Environments for Reinforcement Learning.☆74Updated 2 years ago
- Pytorch starter code for UC Berkeley's cs285 assignments☆70Updated 2 years ago
- Clone of OpenAI's Spinning Up in PyTorch☆146Updated 2 years ago
- A collection of Reinforcement Learning GitHub code resources divided by frameworks and environments☆65Updated 2 years ago
- Convert DeepMind Control Suite to OpenAI gym environments.☆83Updated 4 years ago
- This is the pytorch implementation of ICML 2018 paper - Self-Imitation Learning.☆65Updated 6 years ago
- This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".☆61Updated last year
- Highly Modular and Scalable Reinforcement Learning☆114Updated 4 years ago
- This project explores deep reinforcement learning, hybrid actor-critic approach with A3C/PPO combined with curiosity for playing Super M…☆77Updated 5 years ago
- Modifiable OpenAI Gym environments for studying generalization in RL☆86Updated 5 years ago
- PyTorch code to train and evaluate Procgen tasks☆23Updated 4 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆93Updated 2 years ago
- Continual Reinforcement Learning in 3D Non-stationary Environments☆35Updated 5 years ago
- TorchingUp provides minimal implementations of common Reinforcement Learning algorithms written in PyTorch. It is meant to complement Ope…☆42Updated last year
- ☆53Updated 2 years ago
- A binary release of trained deep reinforcement learning models trained in the Atari machine learning benchmark, and a software release th…☆201Updated 4 years ago
- Deep Reinforcement Learning algorithms implemented in PyTorch☆49Updated 6 years ago
- Code accompanying the paper "Better Exploration with Optimistic Actor Critic" (NeurIPS 2019)☆68Updated last year
- Explore and find reinforcement learning environments in a list of 150+ open source environments.☆90Updated last year
- TD3, SAC, IQN, Rainbow, PPO, Ape-X and etc. in TF1.x☆61Updated 3 years ago
- ☆35Updated 6 years ago